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accession-icon SRP074233
Effect of thermoneutral housing on non-alcoholic fatty liver disease in mice
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: To identify the impact of thermoneutral housing as opposed to standard housing on gene expression profiles in the mouse peripheral blood mononuclear cells (PBMCs), focusing on proinflammatory immune responses and high-fat diet induced non-alcoholic fatty liver disease pathogenesis. Methods: Expression profiles from PBMCs collected from C57Bl6 mice fed chow or high-fat diet for 8 weeks, following 2 weeks at either standard or thermoneutral housing conditions. Sequencing was performed in duplicate, the Illumina HiSeq 2500. Transcripts that passed quality filters were analyzed at the gene level, using Strand NGS for accurate alignment and quantification. Results: We mapped approximately 20million reads per sample to the mm10 genome using annotations produced by Ensembl, which represented 36186 transcripts. Approximately 14000 genes exhibited reasonable expression in at least one experimental condition. The primary focus was the effect of housing temperature while holding diet consistent (i.e. thermoneutral vs standard, both on high-rat diet), where ~2700 genes exhibited differential regulation. Conclusions: We present the transcriptomic profile of PBMCs from mice fed chow of high-fat diets, following either standard or thermoneutral housing. We obseve an augmented proinflammatory immune response. Overall design: PBMC expression profiles were characterized following eight weeks of chow or high-fat diet, following two weeks of standard or thermoneutral housing.

Publication Title

Modulation of ambient temperature promotes inflammation and initiates atherosclerosis in wild type C57BL/6 mice.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP157924
Single cell RNAseq analysis of mouse AAA samples
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We report the application of single-cell-based RNA sequencing technology for high-throughput profiling of mice abdominal aortic aneurysm cell type dependent transcriptome. This study provides insight in the expression profile of aortic tissue macrophages in pathological conditions related to cardiovascular diseases. Overall design: Examination of cell specific transcriptomes in three pooled AAA single cell suspensions from three pooled Apolipoprotein deficient mice perfused for 28 days with angiotensin II

Publication Title

Macrophage-derived netrin-1 promotes abdominal aortic aneurysm formation by activating MMP3 in vascular smooth muscle cells.

Sample Metadata Fields

Disease, Treatment, Subject

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accession-icon SRP103737
Expression analysis of genes modulated after knock-down of lncRNA CHROME.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Thousands of long non-coding RNAs (lncRNAs) have been identified in the human genome, many of which are not conserved in lower mammals. The majority of these lncRNAs remain functionally uncharacterized and may have important implications in human physiology and disease. Here, we identify a primate-specific lncRNA, CHROME, which is increased in the plasma and atherosclerotic plaques of individuals with coronary artery disease compared to healthy controls. Using a loss-of-function approach, we show that CHROME functions as a competing endogenous RNA of microRNAs and regulates the concentration and biological functions of target genes. Overall design: We used three replicate samples of HEPG2 cells that were treated with shRNA for CHROME compated to three replicate control samples.

Publication Title

The long noncoding RNA CHROME regulates cholesterol homeostasis in primate.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE45417
Expression data from knockdown of ZXDC1/2 in PMA-treated U937
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

ZXDC1 augments the expression of various markers of monocyte/macrophage differentiation when over-expressed in the U937 cell line treated with the phorbol ester PMA. Likewise, knockdown of ZXDC1 restricts the induced expression of these markers. We sought to identify specfic gene targets of ZXDC1 during the process of monocyte/macrophage differentiation in U937 by performing gene expression profiling in cells exhibiting reduced expression of ZXDC1 compared to controls.

Publication Title

The zinc finger transcription factor ZXDC activates CCL2 gene expression by opposing BCL6-mediated repression.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP074069
Transcriptome analysis of patient-derived xenograft models of HER2+ breast cancer brain metastases
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

To gain insights into tumor heterogeneity in anti-cancer drug responses of patient-derived xenograft models of HER2+ breast cancer brain metastases, we performed transcriptome gene expression profiling by Ion AmpliSeqâ„¢ Transcriptome sequencing that targets more than 20,000 human genes. Our data found that all anti-cancer drugs responders have significantly higher expression levels of AKT-mTOR-dependent signature genes as compared to the non-responders, suggesting that most HER2+ breast cancer brain metastases are depend on the AKT-mTOR pathway Overall design: Gene expression profiles of five PDX samples were generated by Ion AmpliSeq Transcriptome sequencing, in duplcate, using Ion torrent Proton machine.

Publication Title

Combination inhibition of PI3K and mTORC1 yields durable remissions in mice bearing orthotopic patient-derived xenografts of HER2-positive breast cancer brain metastases.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon SRP020490
Single-cell RNA-Seq reveals dynamic, random monoallelic gene expression in mammalian cells
  • organism-icon Mus musculus
  • sample-icon 293 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

In the diploid genome, genes come in two copies, which can have different DNA sequence and where one is maternal and one is paternal. In a particular cell, a gene could potentially be expressed from both copies (biallelic expression) or only one (monoallelic). We performed RNA-Sequencing on individual cells, from zygote to the cells of the late blastocyst, and also individual cells from the adult liver. Using first generation crosses between two distantly related mouse strains, CAST/Ei and C57BL/6, we determined the expression separately from the maternal and paternal alleles. We found that half of the genes were expressed by only one allele, randomly so that some cells would express the paternal allele, some the maternal and a few cell both alleles. We also observed the spread of the progressive inactivation of the paternal X chromosome. Overall design: First generation mouse strain crosses were used to study monoallelic expression on the single cell level

Publication Title

Single-cell RNA-seq reveals dynamic, random monoallelic gene expression in mammalian cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049815
RNA-seq analysis of differences in gene expression between dorsal and ventral MEC
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Neural circuits in the medial entorhinal cortex (MEC) encode an animal’s position and orientation in space. Within the MEC spatial representations, including grid and directional firing fields, have a laminar and dorsoventral organization that corresponds to a similar topography of neuronal connectivity and cellular properties. Yet, in part due to the challenges of integrating anatomical data at the resolution of cortical layers and borders, we know little about the molecular components underlying this organization. To address this we develop a new computational pipeline for high-throughput analysis and comparison of in situ hybridization (ISH) images at laminar resolution. We apply this pipeline to ISH data for over 16,000 genes in the Allen Brain Atlas and validate our analysis with RNA sequencing of MEC tissue from adult mice. We find that differential gene expression delineates the borders of the MEC with neighboring brain structures and reveals its laminar and dorsoventral organization. Our analysis identifies ion channel-, cell adhesion- and synapse-related genes as candidates for functional differentiation of MEC layers and for encoding of spatial information at different scales along the dorsoventral axis of the MEC. Our results support the hypothesis that differences in gene expression contribute to functional specialization of superficial layers of the MEC and dorsoventral organization of the scale of spatial representations. Overall design: Examination of dorsal and ventral regions from 4 replicate samples each containing pooled data from 3-4 mice

Publication Title

Laminar and dorsoventral molecular organization of the medial entorhinal cortex revealed by large-scale anatomical analysis of gene expression.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE28844
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic response
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE28826
Differentially expressed genes after treatment with chemotherapy in breast cancer and their correlation with pathologic bad response (Miller & Payne grades 1 and 2)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to compare the gene expression profile changes breast tumors after the treatment with Anthracyclines and Taxanes. To this end, an oligonucleotide microarray was performed (Affymetrixs HG-U133 Plus 2.0 array). This gene expression study was carried out on the biopsied tumor samples previous being treated with chemotherapy, and subsequently compared with themselves once treatment schedule ended. The post-chemotherapy biopsy was obtained from the surgical piece. The goal of this study was the finding of several genes related to apoptosis, proliferation, differentiation, survival and transformation-related genes and correlating their differences in expression with the degree of response to chemotherapy, determined by the Miller and Payne histological grading system.

Publication Title

Transcriptional shift identifies a set of genes driving breast cancer chemoresistance.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE33024
Sequentially acting Sox transcription factors in neural lineage development
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Sequentially acting Sox transcription factors in neural lineage development.

Sample Metadata Fields

Specimen part

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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